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9174094
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Run 9174094
Task 9910 (Supervised Classification)
Bioresponse
Uploaded 15-04-2018 by
Hilde Weerts
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sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.Condition alImputer2,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=skl earn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_se lection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1 )
Automatically created scikit-learn flow.
sklearn.preprocessing.data.OneHotEncoder(17)_categorical_features
[]
sklearn.preprocessing.data.OneHotEncoder(17)_dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
sklearn.preprocessing.data.OneHotEncoder(17)_handle_unknown
"ignore"
sklearn.preprocessing.data.OneHotEncoder(17)_n_values
"auto"
sklearn.preprocessing.data.OneHotEncoder(17)_sparse
true
sklearn.feature_selection.variance_threshold.VarianceThreshold(11)_threshold
0.0
sklearn.preprocessing.data.StandardScaler(5)_copy
true
sklearn.preprocessing.data.StandardScaler(5)_with_mean
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sklearn.preprocessing.data.StandardScaler(5)_with_std
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sklearn.svm.classes.SVC(16)_C
5782.217321225103
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sklearn.svm.classes.SVC(16)_class_weight
null
sklearn.svm.classes.SVC(16)_coef0
0.7938581531626822
sklearn.svm.classes.SVC(16)_decision_function_shape
"ovr"
sklearn.svm.classes.SVC(16)_degree
3
sklearn.svm.classes.SVC(16)_gamma
4.955504979292424e-05
sklearn.svm.classes.SVC(16)_kernel
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sklearn.svm.classes.SVC(16)_max_iter
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sklearn.svm.classes.SVC(16)_probability
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sklearn.svm.classes.SVC(16)_random_state
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sklearn.svm.classes.SVC(16)_shrinking
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sklearn.svm.classes.SVC(16)_tol
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sklearn.svm.classes.SVC(16)_verbose
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hyperimp.utils.preprocessing.ConditionalImputer2(1)_axis
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hyperimp.utils.preprocessing.ConditionalImputer2(1)_categorical_features
[]
hyperimp.utils.preprocessing.ConditionalImputer2(1)_copy
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hyperimp.utils.preprocessing.ConditionalImputer2(1)_fill_empty
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hyperimp.utils.preprocessing.ConditionalImputer2(1)_missing_values
"NaN"
hyperimp.utils.preprocessing.ConditionalImputer2(1)_strategy
"mean"
hyperimp.utils.preprocessing.ConditionalImputer2(1)_strategy_nominal
"most_frequent"
hyperimp.utils.preprocessing.ConditionalImputer2(1)_verbose
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sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer2,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1)_memory
null
Result files
0 Evaluation measures